Defining prices

- In this exercise, we're gonna add the registration fee…to our structured data.…Much like adding locations, as we did in the last exercise,…this is gonna require us to nest data types,…as well as pay attention to how content is formatted.…To illustrate this, I've opened up the index page…in the browser.…And if we just scan through this H+ Run section,…if I asked you how much would the registration fee…for this be, it would be pretty easy for you…to scan through this information,…find registration is $20, and then report back to me.…Well, it's easy for you and I,…but it might not be quite as easy for a machine.…

So let's take a look at what they're expecting to find.…So jumping back into the schema.org page for Events,…I'm gonna start scrolling through the Properties,…looking for something like registration fee or price.…And when I get down into the Ps and the Rs,…I certainly don't see that.…I don't see a ticket price.…If I go into the Properties from Thing,…I don't see anything there either, OK.…But if I go back up to the Properties for Event,…

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6/30/2015

Structured data helps search engines, web crawlers, and browsers extract and process data from a webpage and use it to provide a richer browsing experience for users. Join senior author James Williamson for this course, as he explains structured data, its benefits, and the various syntaxes you can choose for markup, including microformats, RDFa, microdata, and JSON-LD. The course also includes four practical projects on structuring different types of data: contact data, event data, and product data, as well as the company data featured in a Google Knowledge Graph. By the end of this course, you'll be able to create more structured, meaningful webpages and know where to find additional resources for learning more.